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Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a…
Designs and builds Azure-based data pipelines and analytics platforms for enterprise clients using Azure Data Factory, Databricks, Synapse, and Data Lake Storage.
Designs and builds scalable Databricks-based lakehouse architectures on AWS, implementing real-time and batch pipelines with PySpark and Kafka to modernize enterprise data platforms.
Design and implement enterprise-scale AWS data platforms, including data lakes and warehouses, using modern analytics and AI tools to drive digital transformation for large clients.
Designs and builds a global cloud security monitoring and incident response platform for Rakuten’s hybrid infrastructure, focusing on SIEM, SOAR, and high-fidelity threat detection.
Senior Data Engineer to modernize and scale a US retail eCommerce platform, building cloud-native data pipelines and warehouses using Azure Synapse, Data Factory, Databricks, and PySpark.
Build and optimize cloud data pipelines on Azure for enterprise clients, focusing on Synapse, SQL DW, and ETL workflows while collaborating with global tech teams.
Build and automate Azure-based data and AI platforms using Terraform and Azure DevOps, ensuring scalable, secure infrastructure for Data Engineers and Scientists.
Designs and implements an Active Metadata ecosystem for P&G’s global Data Lakehouse, using Databricks Unity Catalog and AI-driven tools to automate governance, security, and data discoverability.
Lead the architecture and modernization of Workday integrations and HR data platforms, driving API-first, event-driven integrations and enabling analytics/AI use cases with Databricks.
Build a cloud-product analytics stack: consolidate cloud-platform metrics, model data in a Data Lake, and create Looker dashboards to track adoption, usage, and FinOps KPIs.
Lead a team to architect and scale Citi’s enterprise data platforms, building high-performance pipelines and feature stores that power AI, machine learning, and real-time analytics across the bank.
Builds and maintains a scalable, secure Data-as-a-Service API exposing LakeHouse data via RESTful/GraphQL endpoints, optimizing performance and ensuring cloud-based (AWS) integration with data pipelines.
Build and maintain XNAT, an open-source medical imaging platform, using Java, Python, and JavaScript to support clinical and research workflows, including DICOM integration and release management.
Designs and builds business intelligence dashboards using QlikView and Power BI, writes SQL queries, and supports BI projects for a telecom and digital-solutions provider in Sofia.
Principal Data Architect designs and leads enterprise-scale cloud data platforms (Databricks, AWS, Azure) to enable AI, analytics, and healthcare data solutions at a global medical technology company.
Builds scalable data platforms and pipelines to track software performance, development lifecycle, and customer adoption for Intuit’s products, enabling AI/ML-driven insights and cross-functional decision-making.
Agency: Credera Job Function: Consulting Job Subfunction: Technology Consulting Job Description: Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI…
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to…
Senior Data Engineer builds and optimizes cloud-based data pipelines using Databricks, PySpark, and Azure to enable scalable analytics and business insights for global clients.
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